A Proposed Web Based Real Time Brain Computer Interface (BCI) System for Usability Testing

Puwakpitiyage, C. A. Hewawasam; Rao, Vikas; Azizi, Mostafa; Tee, Wee Jing; Murugesan, Raja Kumar; Hamzah, Masputeriah

doi:10.3991/ijoe.v15i07.10447

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…The system that functions to connect humans and machines or computers is called a human-machine interface (HMI) or human-computer interface (HCI). Some types of physiological signals that can be used on HCI systems include voice commands [1], hand movements [2], [3], head movements [4], electroencephalograph signals (EEG) [5]- [7], electrooculography signals (EOG) [8], [9] and electromyography signals (EMG) [9]- [16].…”

Section: Introductionmentioning

confidence: 99%

Wheelchair for Quadriplegic Patient with Electromyography Signal Control Wireless

et al. 2020

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<p class="0abstract">Quadriplegia is a paralysis condition in both arms and legs so that the patient is only able to move his neck and head. Manual or electric wheelchairs with joystick or switch control as a tool for people with paralysis certainly cannot be controlled independently by quadriplegia sufferers. This study aimed to help quadriplegia sufferers not to depend on others in carrying out daily activities by developing electric wheelchairs that can be controlled independently. The bioelectric signal which has only been used for diagnostic purposes can be utilized as an electric wheelchair control system for quadriplegia sufferers. In this study, electric wheelchairs were controlled by electromyography (EMG) signals from muscle contractions that can be driven by quadriplegia sufferers, namely the neck and face muscles. The increase in EMG signal amplitude during the muscle contraction is used as a trigger for the electric motor in a wheelchair to move forward, backward, turn right, and turn left. An electronic circuit for signal conditioning was used to amplify the EMG signal leads and filter frequencies that are not needed by the system before being processed by the microcontroller circuit. The use of wireless systems was developed to reduce the use of cables connecting electrodes to patients with electronic devices that will provide comfort to the user. Based on the results of the data collection on the wheelchair system, the detectability and selectivity values were for the 100% and 94% forward commands, 94.33% and 100% reverse commands, 92.31%, and 96% right turn commands and 97.96% and 94.12% left turn commands. The electric wheelchair system with EMG signal control is expected to help the mobility of quadriplegia sufferers.</p>

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Section: Introductionmentioning

confidence: 99%

Wheelchair for Quadriplegic Patient with Electromyography Signal Control Wireless

et al. 2020

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Usability Evaluation of BCI Software Applications: A systematic review of the literature

Ortega

Mezura-Godoy

2022

Program Comput Soft

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Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning

Gannouni

Belwafi

Aledaily

et al. 2023

Sensors

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It is becoming increasingly attractive to detect human emotions using electroencephalography (EEG) brain signals. EEG is a reliable and cost-effective technology used to measure brain activities. This paper proposes an original framework for usability testing based on emotion detection using EEG signals, which can significantly affect software production and user satisfaction. This approach can provide an in-depth understanding of user satisfaction accurately and precisely, making it a valuable tool in software development. The proposed framework includes a recurrent neural network algorithm as a classifier, a feature extraction algorithm based on event-related desynchronization and event-related synchronization analysis, and a new method for selecting EEG sources adaptively for emotion recognition. The framework results are promising, achieving 92.13%, 92.67%, and 92.24% for the valence–arousal–dominance dimensions, respectively.

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A Proposed Web Based Real Time Brain Computer Interface (BCI) System for Usability Testing

Cited by 3 publications

References 20 publications

Wheelchair for Quadriplegic Patient with Electromyography Signal Control Wireless

Wheelchair for Quadriplegic Patient with Electromyography Signal Control Wireless

Usability Evaluation of BCI Software Applications: A systematic review of the literature

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning

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